Tutorials

On Wednesday, August 22, choose from half-day tutorials. These expert-led presentations give you a chance to dive deep into the subject matter. Please note: to attend, your registration package must include tutorials on Wednesday; does not include access to training courses.

Wednesday, August 22

Networks, also known as graphs, are one of the most crucial data structures in our increasingly intertwined world. Social friendship networks, the web, financial systems, and infrastructure are all network structures. Noemi Derzsy explains how to generate, manipulate, analyze, and visualize graph structures that will help you gain insight about relationships between elements in your data.
Read more.

Carol Willing, Min Ragan-Kelley, and Erik Sundell demonstrate how to provide easy access to Jupyter notebooks and JupyterLab without requiring users to install anything on their computers. You'll learn how to configure and deploy a cloud-based JupyterHub using Kubernetes and how to customize and extend it for your needs.
Read more.

April Clyburne-Sherin walks you through preparing Jupyter notebooks for computationally reproducible publication. You'll learn best practices for publishing notebooks and get hands-on experience preparing your own research for reuse, creating documentation, and submitting your notebook to share.
Read more.

Kyle Kelley walks you through creating a new web application from the ground up, teaching you how to build on top of Jupyter's protocols in the process. Along the way, you'll learn about Jupyter's REST and streaming APIs, message spec, and the notebook format.
Read more.

JupyterLab—Jupyter's new frontend—goes beyond the classic Jupyter Notebook, providing a flexible and extensible web application with a set of reusable components. Jason Grout and Matthias Bussonnier walk you through using JupyterLab, explain how to transition from the classic Jupyter Notebook frontend to JupyterLab, and demonstrate JupyterLab's new powerful features.
Read more.